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I am a well‑experienced data scientist delivering and leading AI/ML solutions that drive substantial business impact. I optimize processes through automation, build ML/NLP/LLMs, forecast models, and fraud detection, and help set executive AI strategy. I also mentor teams on Python, statistics, and ML/AI to turn complex data into actionable insights that improve KPIs. I enjoy presenting results to teams and stakeholders with clear communication and collaboration, and I’m passionate about enabling others through training and practical playbooks/templates. I focus on privacy-preserving analytics (for example, text anonymization) and scalable automation that accelerates finance and business workflows.…I am a well‑experienced data scientist delivering and leading AI/ML solutions that drive substantial business impact. I optimize processes through automation, build ML/NLP/LLMs, forecast models, and fraud detection, and help set executive AI strategy. I also mentor teams on Python, statistics, and ML/AI to turn complex data into actionable insights that improve KPIs. I enjoy presenting results to teams and stakeholders with clear communication and collaboration, and I’m passionate about enabling others through training and practical playbooks/templates. I focus on privacy-preserving analytics (for example, text anonymization) and scalable automation that accelerates finance and business workflows.

Kaveh Kasaee Roodsari

Data Scientist, AI Engineer, Data Analyst, +4

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I am a well‑experienced data scientist delivering and leading AI/ML solutions that drive substantial business impact. I optimize processes through automation, build ML/NLP/LLMs, forecast models, and fraud detection, and help set executive AI strategy. I also mentor teams on Python, statistics, and ML/AI to turn complex data into actionable insights that improve KPIs. I enjoy presenting results to teams and stakeholders with clear communication and collaboration, and I’m passionate about enabling others through training and practical playbooks/templates. I focus on privacy-preserving analytics (for example, text anonymization) and scalable automation that accelerates finance and business workflows.…I am a well‑experienced data scientist delivering and leading AI/ML solutions that drive substantial business impact. I optimize processes through automation, build ML/NLP/LLMs, forecast models, and fraud detection, and help set executive AI strategy. I also mentor teams on Python, statistics, and ML/AI to turn complex data into actionable insights that improve KPIs. I enjoy presenting results to teams and stakeholders with clear communication and collaboration, and I’m passionate about enabling others through training and practical playbooks/templates. I focus on privacy-preserving analytics (for example, text anonymization) and scalable automation that accelerates finance and business workflows.

Available to hire

I am a well‑experienced data scientist delivering and leading AI/ML solutions that drive substantial business impact. I optimize processes through automation, build ML/NLP/LLMs, forecast models, and fraud detection, and help set executive AI strategy. I also mentor teams on Python, statistics, and ML/AI to turn complex data into actionable insights that improve KPIs.

I enjoy presenting results to teams and stakeholders with clear communication and collaboration, and I’m passionate about enabling others through training and practical playbooks/templates. I focus on privacy-preserving analytics (for example, text anonymization) and scalable automation that accelerates finance and business workflows.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Persian

Fluent

German

Fluent

English

Fluent

Work Experience

Data Scientist (Finance) at T-Mobile Austria

June 1, 2023 - Present

Led development of a next-gen credit-check ML model with ≥20% lift on offline validation (AUC) and expected reduction in write-offs. Implemented fraud-detection models delivering up to €2M in annualized savings. Built NLP/LLMs-based RAG system for billing/invoice queries, projecting a 10–15% reduction in invoice-related inbound. Co-built a bad debt forecasting ML forecast used in budget planning, improving accuracy and optimizing up to €4M annually. Implemented a BERT-based text anonymization pipeline enabling compliant analytics on unstructured PII. Productionized Python automations, saving ~25 hours/month across finance. Trained a team of 5 in Python, automation, ML, and LLMs; delivered playbooks/templates adopted by other departments.

Data Scientist (Media Measurement) at GfK Austria

October 1, 2022 - June 1, 2023

Automated reporting with Python & Streamlit, saving time. Built an anomaly-detection pipeline, improving data accuracy. Created executive dashboards for faster decision-making. Collaborated with an international team in Agile. Leveraged AWS (EC2, S3) for scalable data analysis. Ensured data quality through cleaning and preprocessing techniques.

Data Scientist at FH Technikum Wien & Wiener Energie – Internal Program

June 1, 2022 - October 1, 2022

Developed a model for solar panel efficiency using ML regression and statistical methods. Improved predictive maintenance, cutting downtime and costs. Daily interactions for requirements and modeling improvements; coordinated with data scientists in an agile framework.

Business Analyst at Hydrosaz Consulting

June 1, 2016 - September 1, 2021

Anomaly detection predicting water leakage in the network using outlier detection methods and time-series models. Clustering customers by demographics and consumption using K-Means. Automated report generation to ensure timely and accurate insights. Optimized various business processes using Python to boost operational efficiency. Created visual reports and presented insights to support decision-making.

Data Scientist at FH Technikum Wien & Wiener Energie

June 1, 2022 - October 1, 2022

Developed a solar panel efficiency model using ML regression and statistical methods; improved predictive maintenance, reducing downtime and costs; daily requirements gathering and modeling improvements; coordinated with data scientists in an Agile framework.